Judicial Review and Contemporary Democratic Theory: Power, Domination, and the Courts
Bibliographic record
Abstract
For decades, question of judicial review’s status in a democratic political system has been adjudicated through framework of what Alexander Bickel labeled the counter-majoritarian difficulty. That is, idea that judicial review is particularly problematic for democracy because it opposes will of majority. Judicial Review and Contemporary Democratic Theory begins with an assessment of empirical and theoretical flaws of this framework, and an account of ways in which this framework has hindered meaningful investigation into judicial review’s value within a democratic political system. To replace counter-majoritarian difficulty framework, Scott E. Lemieux and David J. Watkins draw on recent work in democratic theory emphasizing democracy’s opposition to domination and analyses of constitutional court cases in United States, Canada, and elsewhere to examine judicial review in its institutional and political context. Developing democratic criteria for veto points in a democratic system and comparing them to each other against these criteria, Lemieux and Watkins yield fresh insights into judicial review’s democratic value. This book is essential reading for students of law and courts, judicial politics, legal theory and constitutional law.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.018 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".